Malicious code in keithbaileys (npm)
The keithbaileys npm package versions 1.0.8, 1.1.0, and 1.1.1 contain malicious code that silently subscribes the victim's WhatsApp account to attacker-controlled channels without user consent. This is achieved by injecting a covert FOLLOW query into the WhatsApp socket layer using the installer's authenticated session. The target channels are obfuscated or dynamically fetched to evade detection. The malicious code does not exfiltrate credentials, establish persistence, or execute arbitrary remote code.
AI Analysis
Technical Summary
The keithbaileys npm package, a fork of the Baileys WhatsApp Web library, contains injected code that issues an authenticated 'w:mex' FOLLOW query upon connection. This query subscribes the victim's WhatsApp account to attacker-chosen channels using the victim's own authenticated session. The target channel JIDs are obfuscated through various techniques or fetched dynamically from attacker-controlled remote sources, allowing the attacker to change targets post-installation. The malicious behavior is consistent across a family of over 100 near-identical forks, differing only in package name, obfuscation, and delivery method. The code does not steal credentials, maintain persistence, or run arbitrary code remotely.
Potential Impact
Victims unknowingly subscribe to attacker-controlled WhatsApp channels, potentially exposing them to unwanted content or spam. The attack leverages the victim's authenticated session but does not compromise credentials or allow remote code execution. There is no persistence or credential exfiltration involved.
Mitigation Recommendations
No official patch or remediation is indicated in the provided data. Users should avoid installing or using the affected versions (1.0.8, 1.1.0, 1.1.1) of the keithbaileys package. Review and verify the integrity of npm packages before installation. Monitor for updates or advisories from the package maintainers or npm registry regarding this issue.
Malicious code in keithbaileys (npm)
Description
The keithbaileys npm package versions 1.0.8, 1.1.0, and 1.1.1 contain malicious code that silently subscribes the victim's WhatsApp account to attacker-controlled channels without user consent. This is achieved by injecting a covert FOLLOW query into the WhatsApp socket layer using the installer's authenticated session. The target channels are obfuscated or dynamically fetched to evade detection. The malicious code does not exfiltrate credentials, establish persistence, or execute arbitrary remote code.
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The keithbaileys npm package, a fork of the Baileys WhatsApp Web library, contains injected code that issues an authenticated 'w:mex' FOLLOW query upon connection. This query subscribes the victim's WhatsApp account to attacker-chosen channels using the victim's own authenticated session. The target channel JIDs are obfuscated through various techniques or fetched dynamically from attacker-controlled remote sources, allowing the attacker to change targets post-installation. The malicious behavior is consistent across a family of over 100 near-identical forks, differing only in package name, obfuscation, and delivery method. The code does not steal credentials, maintain persistence, or run arbitrary code remotely.
Potential Impact
Victims unknowingly subscribe to attacker-controlled WhatsApp channels, potentially exposing them to unwanted content or spam. The attack leverages the victim's authenticated session but does not compromise credentials or allow remote code execution. There is no persistence or credential exfiltration involved.
Mitigation Recommendations
No official patch or remediation is indicated in the provided data. Users should avoid installing or using the affected versions (1.0.8, 1.1.0, 1.1.1) of the keithbaileys package. Review and verify the integrity of npm packages before installation. Monitor for updates or advisories from the package maintainers or npm registry regarding this issue.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-17395
- Osv Schema Version
- 1.7.4
- Ecosystems
- ["npm"]
Threat ID: 6abd30852a4e24523d340123
Added to database: 09/30/2026, 15:53:41 UTC
Last enriched: 09/30/2026, 16:01:48 UTC
Last updated: 09/30/2026, 22:41:12 UTC
Views: 2
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